Emily Briskin , Stéphane Hans Bateyi Mustafa , Rachel Mahamba , Deka Kabunga , Janvier Kubuya , Klaudia Porten , Epicentre-MSF DRC cholera working group, Laurent Akilimali , Placide Okitayemba Welo , Anaïs Broban
{"title":"继 2019-2020 年有针对性的大规模预防运动之后，2022 年刚果民主共和国戈马的口服霍乱疫苗覆盖率","authors":"Emily Briskin , Stéphane Hans Bateyi Mustafa , Rachel Mahamba , Deka Kabunga , Janvier Kubuya , Klaudia Porten , Epicentre-MSF DRC cholera working group, Laurent Akilimali , Placide Okitayemba Welo , Anaïs Broban","doi":"10.1016/j.jvacx.2024.100555","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>In 2019–2020, preventative Oral Cholera Vaccine campaigns were conducted in 24/32 non-contiguous health areas of Goma, DR Congo. In August 2022, we measured coverage and factors potentially influencing success of the delivery strategy.</p></div><div><h3>Methods</h3><p>We used random geo-sampled stratified cluster survey to estimate OCV coverage and assess population movement, diarrhea history, and reasons for non-vaccination.</p></div><div><h3>Results</h3><p>603 households were visited. Coverage with at least one dose was 46.4 % (95 %CI: 41.8–51.0), and 50.1 % (95 %CI: 45.4–54.8) in areas targeted by vaccination compared to 26.3 % (95 %CI: 19.2–34.9) in non-targeted areas. Additionally, 7.0 % of participants reported moving from outside Goma since 2019, and 5.4 % reported history of severe diarrhea. Absence and unawareness were the main reasons for non-vaccination.</p></div><div><h3>Conclusion</h3><p>Results suggest that targeting non-contiguous urban areas had a coverage-diluting effect. Targeting entire geographically contiguous areas, adapted distribution, and regular catch-up campaigns are operational recommendations to reach higher coverages arising from the study.</p></div>","PeriodicalId":43021,"journal":{"name":"Vaccine: X","volume":"20 ","pages":"Article 100555"},"PeriodicalIF":2.7000,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590136224001281/pdfft?md5=603a8d922ebe9636ffce586b9a2ac585&pid=1-s2.0-S2590136224001281-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Oral cholera vaccine coverage in Goma, Democratic Republic of the Congo, 2022, following 2019–2020 targeted preventative mass campaigns\",\"authors\":\"Emily Briskin , Stéphane Hans Bateyi Mustafa , Rachel Mahamba , Deka Kabunga , Janvier Kubuya , Klaudia Porten , Epicentre-MSF DRC cholera working group, Laurent Akilimali , Placide Okitayemba Welo , Anaïs Broban\",\"doi\":\"10.1016/j.jvacx.2024.100555\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>In 2019–2020, preventative Oral Cholera Vaccine campaigns were conducted in 24/32 non-contiguous health areas of Goma, DR Congo. In August 2022, we measured coverage and factors potentially influencing success of the delivery strategy.</p></div><div><h3>Methods</h3><p>We used random geo-sampled stratified cluster survey to estimate OCV coverage and assess population movement, diarrhea history, and reasons for non-vaccination.</p></div><div><h3>Results</h3><p>603 households were visited. Coverage with at least one dose was 46.4 % (95 %CI: 41.8–51.0), and 50.1 % (95 %CI: 45.4–54.8) in areas targeted by vaccination compared to 26.3 % (95 %CI: 19.2–34.9) in non-targeted areas. Additionally, 7.0 % of participants reported moving from outside Goma since 2019, and 5.4 % reported history of severe diarrhea. Absence and unawareness were the main reasons for non-vaccination.</p></div><div><h3>Conclusion</h3><p>Results suggest that targeting non-contiguous urban areas had a coverage-diluting effect. Targeting entire geographically contiguous areas, adapted distribution, and regular catch-up campaigns are operational recommendations to reach higher coverages arising from the study.</p></div>\",\"PeriodicalId\":43021,\"journal\":{\"name\":\"Vaccine: X\",\"volume\":\"20 \",\"pages\":\"Article 100555\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-09-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2590136224001281/pdfft?md5=603a8d922ebe9636ffce586b9a2ac585&pid=1-s2.0-S2590136224001281-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Vaccine: X\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2590136224001281\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"IMMUNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vaccine: X","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590136224001281","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
Oral cholera vaccine coverage in Goma, Democratic Republic of the Congo, 2022, following 2019–2020 targeted preventative mass campaigns
Background
In 2019–2020, preventative Oral Cholera Vaccine campaigns were conducted in 24/32 non-contiguous health areas of Goma, DR Congo. In August 2022, we measured coverage and factors potentially influencing success of the delivery strategy.
Methods
We used random geo-sampled stratified cluster survey to estimate OCV coverage and assess population movement, diarrhea history, and reasons for non-vaccination.
Results
603 households were visited. Coverage with at least one dose was 46.4 % (95 %CI: 41.8–51.0), and 50.1 % (95 %CI: 45.4–54.8) in areas targeted by vaccination compared to 26.3 % (95 %CI: 19.2–34.9) in non-targeted areas. Additionally, 7.0 % of participants reported moving from outside Goma since 2019, and 5.4 % reported history of severe diarrhea. Absence and unawareness were the main reasons for non-vaccination.
Conclusion
Results suggest that targeting non-contiguous urban areas had a coverage-diluting effect. Targeting entire geographically contiguous areas, adapted distribution, and regular catch-up campaigns are operational recommendations to reach higher coverages arising from the study.
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